Supervised learning on sequence data, also known as sequence classification, has been well recognized as an important data mining task with many significant applications. Since te...
Zhengzheng Xing, Jian Pei, Guozhu Dong, Philip S. ...
Background: The subcellular location of a protein is closely related to its function. It would be worthwhile to develop a method to predict the subcellular location for a given pr...
Being able to identify which rhetorical relations (e.g., contrast or explanation) hold between spans of text is important for many natural language processing applications. Using ...
In this paper, we propose a framework of Knowledge Management Learning System (KMLS) for adult education based on a learning process and a ServiceOriented Architecture (SOA). Acco...
Wan-Jen Chang, Hsuan-Hung Chen, Hui-Kai Su, Yuan-S...
Sliding window classifiers are among the most successful and widely applied techniques for object localization. However, training is typically done in a way that is not specific to...